Ubbelohde Viscometer Verification Method and System Based on Computer Vision

Wang, Hongxing; Zhang, Kun; Xun, Qining; Shen, Tao; Zhao, Qinjun

doi:10.1109/cac53003.2021.9728520

“…Saxena Indu [4] et al used a platinum wire level sensor to detect the liquid level. Wang H [5] et al used PLC as the system controller to complete the verification of the capillary viscometer. Wang Xiaojie [6] et al developed a real-time fluid viscosity measurement system based on the horizontal capillary method.…”

Section: Introductionmentioning

confidence: 99%

Research on moving liquid level detection method of viscometer in dynamic scene

Liu,

Jing,

Zhang

et al. 2024

Preprint

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In order to solve the problem of false detection of the moving liquid level caused by the vibration of the constant temperature water bath, this paper combines the Type-2 Fuzzy Gaussian Mixture Model (T2-FGMM) and Markov Random Field (MRF) to study a new background modeling method for detecting the moving liquid level in dynamic scenes. The method first considers the output of T2-FGMM as the initial labeling domain of MRF, and then combines the local energy of the labeling domain with the observation energy. The key of this method is to combine the spatiotemporal prior of T2-FGMM with the observation. Comparative experimental results show that the proposed algorithm has better dynamic background detection effect than traditional frame difference method and Vibe algorithm, and can effectively eliminate the influence of the vibration of the constant temperature water bath on the detection of the moving liquid level of the viscometer.

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“…Saxena Indu [4] et al used a platinum wire level sensor to detect the liquid level. Wang H [5] et al used PLC as the system controller to complete the verification of the capillary viscometer. Wang Xiaojie [6] et al developed a real-time fluid viscosity measurement system based on the horizontal capillary method.…”

Section: Introductionmentioning

confidence: 99%

Research on Moving Liquid Level Detection Method of Viscometer in Dynamic Scene

Xia,

Rongyao,

Kun

et al. 2024

Mobile Netw Appl

0

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In order to solve the problem of false detection of the moving liquid level caused by the vibration of the constant temperature water bath, this paper combines the Type-2 Fuzzy Gaussian Mixture Model (T2-FGMM) and Markov Random Field (MRF) to study a new background modeling method for detecting the moving liquid level in dynamic scenes. The method first considers the output of T2-FGMM as the initial labeling domain of MRF, and then combines the local energy of the labeling domain with the observation energy. The key of this method is to combine the spatiotemporal prior of T2-FGMM with the observation. Comparative experimental results show that the proposed algorithm has better dynamic background detection effect than traditional frame difference method and Vibe algorithm, and can effectively eliminate the influence of the vibration of the constant temperature water bath on the detection of the moving liquid level of the viscometer.

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“…For example, patent Xie (2019) CN109357970 was presented. Patent Zhang et al (2023) CN115728183 has fully automated the outflow viscometer function. Utility model Zhang et al (2022) CN217033494 will provide us with an almost perfect tempering of the liquid, the viscosity of which we are trying to determine with the outlet cup.…”

mentioning

confidence: 99%

Cup viscometer - A practical analytical tool

Houška

2024

Czech J. Food Sci.

0

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This paper focuses on helping smaller companies in the manufacturing industry who need to know the viscosity of their products or raw materials and do not have the funds to invest in expensive rotary rheometers. We developed a calibrated simple cup. It has replaceable nozzles designed so that dripping liquids cannot distort discharge times. The calibration of the cup is based on the relationship between kinematic viscosity and outflow time, which is valid for the laminar flow regimes. Here we described calibration and measurement procedures and methods for detecting non-Newtonian flow behaviour and the viscoelasticity of measured liquids. The maximum measurement error of 3% is defined for cases where all distractions are removed.

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Ubbelohde Viscometer Verification Method and System Based on Computer Vision

Cited by 4 publications

References 2 publications

Research on moving liquid level detection method of viscometer in dynamic scene

Research on moving liquid level detection method of viscometer in dynamic scene

Research on Moving Liquid Level Detection Method of Viscometer in Dynamic Scene

Cup viscometer - A practical analytical tool

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